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Analytical chemistry, Tandem mass spectrometry, Chemical compound, Chemistry, Molecule, Spectroscopy

Coupling Machine Learning With MS/MS To Characterize Drug Compounds

On Oct 25, 2020
@Ronald_vanLoon shared
Coupling #MachineLearning With MS/MS To Characterize Drug Compounds by @LifeAtPurdue @Tech_Networks Go to https://t.co/C7AlQtKszd #Healthcare #DataScience #ML #AI #ArtificialIntelligence Cc: @simplivllc @ronald_vanloon @msftresearch https://t.co/fUpIE6anKJ
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Purdue University scientists have developed a new approach that involves applying machine learning concepts to the tandem mass spectrometry process to improve the flow of information in the development of new drugs.

www.technologynetworks.com
On Oct 25, 2020
@Ronald_vanLoon shared
Coupling #MachineLearning With MS/MS To Characterize Drug Compounds by @LifeAtPurdue @Tech_Networks Go to https://t.co/C7AlQtKszd #Healthcare #DataScience #ML #AI #ArtificialIntelligence Cc: @simplivllc @ronald_vanloon @msftresearch https://t.co/fUpIE6anKJ
Open

Coupling Machine Learning With MS/MS To Characterize Drug Compounds

Coupling Machine Learning With MS/MS To Characterize Drug Compounds

Purdue University scientists have developed a new approach that involves applying machine learning concepts to the tandem mass spectrometry process to improve the flow of information in the ...

Mass Spectrometry

Mass Spectrometry

Meet leading Directors, presidents & CEOs from companies, chemists, academic groups from pharmaceutical companies at Mass Spectrometry Dubai, UAE

A novel strategy for the characterization of glaucocalyxin A metabolites in vivo and in vitro by UHPLC-Q-TOF-MS based on DDA and DIA data acquisitions

A novel strategy for the characterization of glaucocalyxin A metabolites in vivo and in vitro by UHPLC-Q-TOF-MS based on DDA and DIA data acquisitions

Accordingly, in exoteric metabolite research, intestinal flora has been extensively used.17,18 Besides, scientists usually predict the metabolic profile in humans by microbial ...

Announcing the Finalists of the 2020 Blavatnik National Awards for Young Scientists

Announcing the Finalists of the 2020 Blavatnik National Awards for Young Scientists

This year’s Finalists have made cutting-edge discoveries that include “reversing” bacterial evolution to fight antibiotic resistance; creating stretchable biological fibers that can be used ...

Chemists harness artificial intelligence to predict the future of chemical reactions

Chemists harness artificial intelligence to predict the future of chemical reactions

Chemistry professor Abigail Doyle led a team of researchers who have developed state-of-the-art software to predict reaction yields while varying up to four components, a powerful tool in ...

Synthetic organic chemist for targeted protein degradation (m/f/x)

Synthetic organic chemist for targeted protein degradation (m/f/x)

The Winter laboratory at CeMM, the Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna, is recruiting a synthetic ...

Elucidating the diversity of lipid structures by computational mass spectrometry

Elucidating the diversity of lipid structures by computational mass spectrometry

We establish a state-of-the-art untargeted lipidomics platform, packaged in MS-DIAL 4, with a lipidome atlas of retention time and collision cross section (CCS), and tandem mass spectrum of ...